In the fast-paced world of software development, "vibe coding"—where intuition and momentum drive decisions—can lead to rapid progress but often accrues unseen technical debt. This session unveils a suite of AI agents I've developed to detect and analyze the subtle signs of such debt. We'll explore how these agents identify patterns like inconsistent naming conventions, fragmented logic, and other indicators of rushed or improvised coding practices.

Through live demonstrations, you'll witness how these tools can surface hidden issues, providing actionable insights to maintain code quality and sustainability. Whether you're a developer, team lead, or architect, this talk offers practical strategies to harness AI for proactive code base health monitoring, ensuring that the creative spark of vibe coding doesn't compromise long-term maintainability.